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Data Sets

International Food Consumption Patterns: Data and Methodology

As reported in International Evidence on Food Consumption Patterns, the budget shares and elasticities are derived as follows:

International Comparison Project Data

The International Comparison Project (ICP) was originally initiated by researchers at the University of Pennsylvania and is currently coordinated by the International Comparison Program, Development Data Group of the World Bank. The number of countries included in the ICP data has increased from 10 in 1970 to 115 countries in 1996. This study uses the 1996 ICP data, which cover expenditure and price data for 115 countries, 10 broad consumption categories, and 22 subcategories. However, the analysis in the technical bulletin uses data for only 114 countries, since appropriate population data for Herzegovina were unavailable.

To conduct cross-country analysis, real consumption expenditures in different currencies must be expressed in terms of a base-country currency comparable across countries. One solution is to convert expenditures into a single currency by using exchange rates. However, exchange rates do not account for the fact that services are cheaper in low-income countries. To obtain more accurate estimates for individual countries, the ICP uses the Geary-Khamis method of aggregation to obtain prices and volumes in terms of purchasing power parities relative to a base country. These values allow comparisons at various levels of aggregation for all countries included in the analysis.

Two-Stage Demand Model

This analysis uses a two-stage demand system. In the first stage, consumers are assumed to make budget choices over broad consumption groups. Given the budget endowment for each broad consumption group, in the second stage consumers make budget choices for consumption items within each group. In using this approach, we maintain preference independence within the broad groups. In the second stage, weak separability among items within a broad group is assumed.

The Florida model, a modified Working's model that incorporates price terms, is fit to the first-stage model for nine broad groups of goods across 114 countries. This model assumes preference independence. A modified version of the Florida model, the Florida Slutsky model, which assumes weak separability, is fit to the eight food subgroups. The country data exhibit group heteroskedasticity. A maximum likelihood procedure that corrects for group heteroskedasticity is developed and used to estimate the model. Outliers are identified with information inaccuracy measures, and Strobel measures of goodness-of-fit are calculated.

The parameters estimated in the first stage of the analysis are used to calculate elasticities for the broad consumption groups, and the parameters estimated in the second stage are used to calculate the conditional elasticities for the food subgroups. The unconditional elasticities for the food subgroups are then calculated by multiplying the conditional elasticities by the elasticity for food estimated in the first stage of the estimation process.

For additional information and references, see International Evidence on Food Consumption Patterns.

 

For more information, contact: Anita Regmi

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Updated date: October 6, 2003